Data Analytics and Machine learning applied to Transport Layer

The presentation is organized into two main parts, Part 1: overview on Machine Learning □ Basic concepts (supervised/unsupervised learning, bias/variance trade-off, etc.) □ Some algorithms, Linear regression, Neural Networks, K-nearest neighbours.